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computation-enhanced modality capable of revolutionizing precision medicine. The incorporation of explainable AI, cutting-edge virtual slide analysis, and semantics is likely to foster biomedical adoption
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at the interface of signal and image processing, behavioural neuroscience and neurofeedback. Neurofeedback approaches (NF) (see [1] for a complete and actual introduction), also known as restorative brain-computer
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the intersection between biomedical engineering, complex systems and clinical neuroscience. NERV proposes new computational frameworks to analyze and model the spatiotemporal complexity of brain networks from
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a physician to indicate the patient's condition at the time of recording. The goal is to extract features from these recordings that capture the nuances of pain flares, enabling the development
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better throughput. Recent papers consider a combination of pipeline parallelism with activation checkpointing techniques [5, 6]. An important point is that algorithms with theoretically better time/memory
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checkpointing techniques [5, 6]. An important point is that algorithms with theoretically better time/memory complexity in practice might provide fewer benefits as it could be expected from analytical derivations
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signaling in space and time: where proteins come together and when they're apart. Science , 326(5957):1220-1224, 2009. [2] M. R. Arkin, Y. Tang, and J. A Wells. Small-molecule inhibitors of protein-protein
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time and post-explanations at inference time. The starting point will be existing state-of-the-art AI HW accelerators optimized for energy efficiency and the outcome will be fault-tolerant versions